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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 629 · 40 questions
TalentJR

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

NameDateTime takenScore ___ / 40
  1. 1.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  2. 2.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  3. 3.True or false: “the trained program” is the model. (a) True (b) False
  4. 4.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  6. 6.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
  7. 7.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
  8. 8.Which of these is the model? (a) recorded spoken words (b) the trained program (c) labelled fruit photos (d) 500 labelled leaf photos
  9. 9.True or false: “typing a new spoken word” is the model. (a) True (b) False
  10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  11. 11.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  12. 12.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
  14. 14.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
  15. 15.Which of these is a prediction? (a) tomorrow’s rain guess (b) what training builds (c) past weather records (d) the learned patterns
  16. 16.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
  17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
  18. 18.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
  19. 19.True or false: “recorded spoken words” is training data. (a) True (b) False
  20. 20.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  21. 21.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) typing a new spoken word (d) flagging a new email
  22. 22.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  23. 23.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) the learned patterns (d) typing a new spoken word
  24. 24.True or false: “past weather records” is training data. (a) True (b) False
  25. 25.True or false: “past weather records” is the model. (a) False (b) True
  26. 26.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  27. 27.True or false: “what training builds” is training data. (a) True (b) False
  28. 28.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  29. 29.True or false: “the trained program” is a prediction. (a) False (b) True
  30. 30.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  31. 31.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  32. 32.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  33. 33.True or false: “the learned patterns” is the model. (a) False (b) True
  34. 34.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) the trained program (d) what training builds
  35. 35.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  36. 36.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  37. 37.Which of these is the model? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) naming a new leaf (d) what training builds
  38. 38.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  40. 40.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) past weather records (d) the learned patterns

Answer key

  1. training data
  2. training data
  3. True
  4. training data
  5. a prediction
  6. False
  7. past weather records
  8. the trained program
  9. False
  10. the model
  11. False
  12. True
  13. a prediction
  14. to see if it works
  15. tomorrow’s rain guess
  16. it learns patterns
  17. training data
  18. data, model, prediction
  19. True
  20. the trained program
  21. old emails marked spam
  22. the learned patterns
  23. the learned patterns
  24. True
  25. False
  26. a prediction
  27. False
  28. True
  29. False
  30. False
  31. a prediction
  32. False
  33. True
  34. 500 labelled leaf photos
  35. past weather records
  36. True
  37. what training builds
  38. the learned patterns
  39. what training builds
  40. past weather records

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